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Droplet‐Based Single‐Cell Measurements of 16S rRNA Enable Integrated Bacteria Identification and Pheno‐Molecular Antimicrobial Susceptibility Testing from Clinical Samples in 30 min

Empiric broad‐spectrum antimicrobial treatments of urinary tract infections (UTIs) have contributed to widespread antimicrobial resistance. Clinical adoption of evidence‐based treatments necessitates rapid diagnostic methods for pathogen identification (ID) and antimicrobial susceptibility testing (...

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Autores principales: Kaushik, Aniruddha M., Hsieh, Kuangwen, Mach, Kathleen E., Lewis, Shawna, Puleo, Christopher M., Carroll, Karen C., Liao, Joseph C., Wang, Tza‐Huei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7967084/
https://www.ncbi.nlm.nih.gov/pubmed/33747737
http://dx.doi.org/10.1002/advs.202003419
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author Kaushik, Aniruddha M.
Hsieh, Kuangwen
Mach, Kathleen E.
Lewis, Shawna
Puleo, Christopher M.
Carroll, Karen C.
Liao, Joseph C.
Wang, Tza‐Huei
author_facet Kaushik, Aniruddha M.
Hsieh, Kuangwen
Mach, Kathleen E.
Lewis, Shawna
Puleo, Christopher M.
Carroll, Karen C.
Liao, Joseph C.
Wang, Tza‐Huei
author_sort Kaushik, Aniruddha M.
collection PubMed
description Empiric broad‐spectrum antimicrobial treatments of urinary tract infections (UTIs) have contributed to widespread antimicrobial resistance. Clinical adoption of evidence‐based treatments necessitates rapid diagnostic methods for pathogen identification (ID) and antimicrobial susceptibility testing (AST) with minimal sample preparation. In response, a microfluidic droplet‐based platform is developed for achieving both ID and AST from urine samples within 30 min. In this platform, fluorogenic hybridization probes are utilized to detect 16S rRNA from single bacterial cells encapsulated in picoliter droplets, enabling molecular identification of uropathogenic bacteria directly from urine in as little as 16 min. Moreover, in‐droplet single‐bacterial measurements of 16S rRNA provide a surrogate for AST, shortening the exposure time to 10 min for gentamicin and ciprofloxacin. A fully integrated device and screening workflow were developed to test urine specimens for one of seven unique diagnostic outcomes including the presence/absence of Gram‐negative bacteria, molecular ID of the bacteriaas Escherichia coli, an Enterobacterales, or other organism, and assessment of bacterial susceptibility to ciprofloxacin. In a 50‐specimen clinical comparison study, the platform demonstrates excellent performance compared to clinical standard methods (areas‐under‐curves, AUCs >0.95), within a small fraction of the turnaround time, highlighting its clinical utility.
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spelling pubmed-79670842021-03-19 Droplet‐Based Single‐Cell Measurements of 16S rRNA Enable Integrated Bacteria Identification and Pheno‐Molecular Antimicrobial Susceptibility Testing from Clinical Samples in 30 min Kaushik, Aniruddha M. Hsieh, Kuangwen Mach, Kathleen E. Lewis, Shawna Puleo, Christopher M. Carroll, Karen C. Liao, Joseph C. Wang, Tza‐Huei Adv Sci (Weinh) Full Papers Empiric broad‐spectrum antimicrobial treatments of urinary tract infections (UTIs) have contributed to widespread antimicrobial resistance. Clinical adoption of evidence‐based treatments necessitates rapid diagnostic methods for pathogen identification (ID) and antimicrobial susceptibility testing (AST) with minimal sample preparation. In response, a microfluidic droplet‐based platform is developed for achieving both ID and AST from urine samples within 30 min. In this platform, fluorogenic hybridization probes are utilized to detect 16S rRNA from single bacterial cells encapsulated in picoliter droplets, enabling molecular identification of uropathogenic bacteria directly from urine in as little as 16 min. Moreover, in‐droplet single‐bacterial measurements of 16S rRNA provide a surrogate for AST, shortening the exposure time to 10 min for gentamicin and ciprofloxacin. A fully integrated device and screening workflow were developed to test urine specimens for one of seven unique diagnostic outcomes including the presence/absence of Gram‐negative bacteria, molecular ID of the bacteriaas Escherichia coli, an Enterobacterales, or other organism, and assessment of bacterial susceptibility to ciprofloxacin. In a 50‐specimen clinical comparison study, the platform demonstrates excellent performance compared to clinical standard methods (areas‐under‐curves, AUCs >0.95), within a small fraction of the turnaround time, highlighting its clinical utility. John Wiley and Sons Inc. 2021-02-01 /pmc/articles/PMC7967084/ /pubmed/33747737 http://dx.doi.org/10.1002/advs.202003419 Text en © 2021 The Authors. Advanced Science published by Wiley‐VCH GmbH This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Full Papers
Kaushik, Aniruddha M.
Hsieh, Kuangwen
Mach, Kathleen E.
Lewis, Shawna
Puleo, Christopher M.
Carroll, Karen C.
Liao, Joseph C.
Wang, Tza‐Huei
Droplet‐Based Single‐Cell Measurements of 16S rRNA Enable Integrated Bacteria Identification and Pheno‐Molecular Antimicrobial Susceptibility Testing from Clinical Samples in 30 min
title Droplet‐Based Single‐Cell Measurements of 16S rRNA Enable Integrated Bacteria Identification and Pheno‐Molecular Antimicrobial Susceptibility Testing from Clinical Samples in 30 min
title_full Droplet‐Based Single‐Cell Measurements of 16S rRNA Enable Integrated Bacteria Identification and Pheno‐Molecular Antimicrobial Susceptibility Testing from Clinical Samples in 30 min
title_fullStr Droplet‐Based Single‐Cell Measurements of 16S rRNA Enable Integrated Bacteria Identification and Pheno‐Molecular Antimicrobial Susceptibility Testing from Clinical Samples in 30 min
title_full_unstemmed Droplet‐Based Single‐Cell Measurements of 16S rRNA Enable Integrated Bacteria Identification and Pheno‐Molecular Antimicrobial Susceptibility Testing from Clinical Samples in 30 min
title_short Droplet‐Based Single‐Cell Measurements of 16S rRNA Enable Integrated Bacteria Identification and Pheno‐Molecular Antimicrobial Susceptibility Testing from Clinical Samples in 30 min
title_sort droplet‐based single‐cell measurements of 16s rrna enable integrated bacteria identification and pheno‐molecular antimicrobial susceptibility testing from clinical samples in 30 min
topic Full Papers
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7967084/
https://www.ncbi.nlm.nih.gov/pubmed/33747737
http://dx.doi.org/10.1002/advs.202003419
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